Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 88, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: list<item: struct<scene_id: string, dataset_type: string, question_type: string, question_id: string, question_for_test: string, answer_for_test: string, question_frame: int64, answer_for_test_frame: int64, clock_origin_frame: int64, native_fps: double, n_window_frames: int64, prompt_mode: string, refs: list<item: struct<video_id: string, ref_time: double, ref_announce_time: double, ref_box: list<item: double>>>, n_refs: int64, n_refs_image_fed: int64, est_seq_tokens: int64>> vs struct<subset: string, recipe: string, source: string, mcq_instr: string, rezero_clock: bool, prompt_mode: string, refs_image_fed: bool, fps: double, min_frames: int64, max_frames: int64, max_seq_estimate: int64, frame_rule: string, frame_tol: double, n_train: int64, n_val: int64, dropped: struct<not_in_split: int64, too_few_usable_frames: int64, over_max_seq_estimate: int64>>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
VoxMem EPIC-KITCHENS share
Derived data of the VoxMem project built from EPIC-KITCHENS-100 (videos (c) the EPIC-KITCHENS team, CC BY-NC 4.0; this share keeps that license and is for non-commercial research). The original MP4s are NOT here. Version of 2026-10-06: one file per video, every frame chosen by the frame rule (each wanted 1-fps frame exactly, else the nearest frame with a camera pose within +-0.5 s, else that second is dropped).
Every path here is the path under the VoxMem data root (src/voxmem/paths.py, default /local/eb/yushupan/voxmem/data):
hf download treemo6/voxmem-epic-data-share --repo-type dataset --local-dir <DATA> [--include 'epic-kitchens/questions/*' ...]
bash <DATA>/download.sh <DATA> # checks md5, unpacks every tar in place, removes the tar
| path | what | read by |
|---|---|---|
epic-kitchens/tokens/qwen3vl-4b_512px/<video>.npz |
572 files, one per video: Qwen3-VL-4B visual tokens (144 per 512x288 frame), similarity features, 3D points, camera pose, depth (557x992, metres), the frame-rule table | the voxel builder and the training export |
epic-kitchens/frames/<video>.tar |
rectified 992 px frames, <video>/<frame:06d>.jpg, 1,095,978 in all |
native training / evaluation |
epic-kitchens/questions/questions.tar |
all.json (every generated question), covered.json (>= 90 % of wanted seconds served by the frame rule), split_videos.json |
the builders and the export |
epic-kitchens/train/train.tar |
training lists: text_only/epic_v1_*, reference_frames/epic_v1_refzs_* |
both trainers |
epic-kitchens/reference_frames/reference_frames.tar |
the images questions point to | both trainers, reference-image mode |
epic-kitchens/raw/*.tar |
EPIC-Fields poses, Intermediate-Data (per-frame poses), VISOR, EPIC annotations | building poses, depth and questions |
<category>/outdated-2026-09-24/ |
the files of the 2026-09-24 version (old layout: their members start with task_runtime/) |
nothing current |
Voxel caches are not shared: build them from the tokens with scripts/build_hdepic_voxel_cache.py.
MD5SUMS.txt lists every tar and every token file.
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